| Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks Z Chen, J Wu, W Wang, W Su, G Chen, S Xing, Z Muyan, Q Zhang, X Zhu, ... IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 | 683* | 2024 |
| Visionllm: Large language model is also an open-ended decoder for vision-centric tasks W Wang, Z Chen, X Chen, J Wu, X Zhu, G Zeng, P Luo, T Lu, J Zhou, ... Advances in Neural Information Processing Systems (NeurIPS), 2023 | 448 | 2023 |
| Universal instance perception as object discovery and retrieval B Yan, Y Jiang, J Wu, D Wang, P Luo, Z Yuan, H Lu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 173 | 2023 |
| Language as queries for referring video object segmentation J Wu, Y Jiang, P Sun, Z Yuan, P Luo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 171 | 2022 |
| Watch only once: An end-to-end video action detection framework S Chen, P Sun, E Xie, C Ge, J Wu, L Ma, J Shen, P Luo Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 74 | 2021 |
| Visionllm v2: An end-to-end generalist multimodal large language model for hundreds of vision-language tasks J Wu, M Zhong, S Xing, Z Lai, Z Liu, Z Chen, W Wang, X Zhu, L Lu, T Lu, ... Advances in Neural Information Processing Systems 37, 69925-69975, 2025 | 33 | 2025 |
| Groma: Localized visual tokenization for grounding multimodal large language models C Ma, Y Jiang, J Wu, Z Yuan, X Qi European Conference on Computer Vision, 417-435, 2024 | 33 | 2024 |
| Self-supervised video representation learning with motion-aware masked autoencoders H Yang, D Huang, B Wen, J Wu, H Yao, Y Jiang, X Zhu, Z Yuan arXiv preprint arXiv:2210.04154, 2022 | 20 | 2022 |
| The first visual object tracking segmentation vots2023 challenge results M Kristan, J Matas, M Danelljan, M Felsberg, HJ Chang, LČ Zajc, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 13 | 2023 |
| Development of an effective model for computing rightmost eigenvalues of power systems with inclusion of time delays C Li, J Wu, C Duan, Z Du IEEE Transactions on Power Systems 34 (6), 4216-4227, 2019 | 13 | 2019 |
| Segment every reference object in spatial and temporal spaces J Wu, Y Jiang, B Yan, H Lu, Z Yuan, P Luo Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 12 | 2023 |
| Towards high-quality temporal action detection with sparse proposals J Wu, P Sun, S Chen, J Yang, Z Qi, L Ma, P Luo arXiv preprint arXiv:2109.08847, 2021 | 11 | 2021 |
| Exploring transformers for open-world instance segmentation J Wu, Y Jiang, B Yan, H Lu, Z Yuan, P Luo Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 8 | 2023 |
| Uniref++: Segment every reference object in spatial and temporal spaces J Wu, Y Jiang, B Yan, H Lu, Z Yuan, P Luo arXiv preprint arXiv:2312.15715, 2023 | 5 | 2023 |
| Multi-level contrastive learning for dense prediction task Q Guo, Y Yu, Y Jiang, J Wu, Z Yuan, P Luo arXiv preprint arXiv:2304.02010, 2023 | 3 | 2023 |
| A Simple Baseline for Open-World Tracking via Self-training B Wang, T Li, J Wu, Y Jiang, H Lu, Y He Proceedings of the 31st ACM International Conference on Multimedia, 2765-2774, 2023 | 2 | 2023 |
| Method, apparatus, device, and medium for processing visual task by generic model Y Jiang, B Yan, J Wu, Y Zehuan US Patent App. 18/531,091, 2024 | | 2024 |
| Method, apparatus, device and medium for processing image using machine learning model Y Jiang, J Wu, B Yan, Y Zehuan US Patent App. 18/499,066, 2024 | | 2024 |
| MotionMAE: Self-supervised Video Representation Learning with Motion-Aware Masked Auto encoders H Yang, D Huang, B Wen, J Wu, H Yao, Y Jiang, X Zhu, Z Yuan | | 2024 |
Ping Luo (羅平)Associate Professor, The University of Hong Kong; MMLAB@HKUכתובת אימייל מאומתת בדומיין hku.hk